Fawz Kazzazi 1 , Diana Kazzazi 2 , Kishore Kukendra-Rajah 3 , Marina Basarab 4 . Show Affiliations »
Abstract
BACKGROUND: The order-up-to inventory model is a method for identifying and maintaining the optimal product level for items that that hold value over time and have recurring demand. Typically, supermarkets utilise it to manage stock-levels of non-perishable goods. LOCAL PROBLEM: This project aimed to improve blood culture bottle supplies following reports by junior doctors of shortages when dealing with septic/unwell patients. METHODS: Data regarding blood culture bottle use was acquired from four hospitals within one trust in London (245 wards). The mathematical 'order-up-to' inventory model (an iterative Poisson distribution) was applied to the 6 months' data. INTERVENTIONS: The model found three predictable levels of demand to stock wards with no shortages in 99.3% of circumstances (based on historical data). Wards were stocked with blood culture bottles as per their required demand. RESULTS: A collection method and infrastructure was designed to implement the new policy and was applied to a London tertiary centre. A review of doctors, nurses and ward-managers found significant improvements in supply with no shortages since the model was applied. Issues with the dataset were identified for intensive therapy unit / high dependency unit. CONCLUSIONS: The 'order-up-to' inventory model provides a useful tool within hospitals for improving stock levels of blood cultures bottles and with that the satisfaction of trainees and patient safety. © Royal College of Physicians 2021. All rights reserved.
BACKGROUND: The order-up-to inventory model is a method for identifying and maintaining the optimal product level for items that that hold value over time and have recurring demand. Typically, supermarkets utilise it to manage stock-levels of non-perishable goods. LOCAL PROBLEM: This project aimed to improve blood culture bottle supplies following reports by junior doctors of shortages when dealing with septic/unwell patients. METHODS: Data regarding blood culture bottle use was acquired from four hospitals within one trust in London (245 wards). The mathematical 'order-up-to' inventory model (an iterative Poisson distribution) was applied to the 6 months' data. INTERVENTIONS: The model found three predictable levels of demand to stock wards with no shortages in 99.3% of circumstances (based on historical data). Wards were stocked with blood culture bottles as per their required demand. RESULTS: A collection method and infrastructure was designed to implement the new policy and was applied to a London tertiary centre. A review of doctors, nurses and ward-managers found significant improvements in supply with no shortages since the model was applied. Issues with the dataset were identified for intensive therapy unit / high dependency unit. CONCLUSIONS: The 'order-up-to' inventory model provides a useful tool within hospitals for improving stock levels of blood cultures bottles and with that the satisfaction of trainees and patient safety. © Royal College of Physicians 2021. All rights reserved.
Entities: Chemical
Keywords:
blood culture bottles; modelling; stock; supply
Year: 2021
PMID: 34286199 PMCID: PMC8285141 DOI: 10.7861/fhj.2020-0120
Source DB: PubMed Journal: Future Healthc J ISSN: 2514-6645